This paper presents a novel dynamic factor model for non-stationary data. We begin by constructing a simple dynamic stochastic general equilibrium growth model and show that we can represent and estimate the model using a simple linear-Gaussian (Kalman) filter. Crucially, consistent estimation...

This paper analyses to what extent a selection of leading indicators is able to forecast U.S. recessions, by means of both dynamic probit models and Support Vector Machine (SVM) models, using monthly data from January 1871 to June 2016. The results suggest that the probit models predict U.S....

The yield curve—specifically, the spread between the interest rates on the ten-year Treasury note and the three-month Treasury bill—is a valuable forecasting tool. It is simple to use and significantly outperforms other financial and macroeconomic indicators in predicting recessions two to six...

This paper assesses the nowcasting performance of confidence in a one-equation model based on the Purchasing Managers Index (PMI). We look at the interactions between the PMI and confidence and the reasons why confidence affects real GDP growth besides the PMI. Moreover, we explain why our model...

Analyzing the performance of the economy in real time is a challenge for those who must forecast macroeconomic variables such as inflation or employment. A key aspect of this challenge is evaluating the incoming flow of information contained in economic announcements. In this article, the...

The ability of term spread to forecast U.S. output growth could be improved by two ways: (i) Combining with the Harrod-Domar variable - net saving as a percentage of gross national income - that used to proxy for aggregate supply; and (ii) Using a system of simultaneous equations, in which U.S....